Literature DB >> 29328975

Active elimination of radio frequency interference for improved signal-to-noise ratio for in-situ NMR experiments in strong magnetic field gradients.

M Ibrahim1, C I Pardi2, T W C Brown3, P J McDonald2.   

Abstract

Improvement in the signal-to-noise ratio of Nuclear Magnetic Resonance (NMR) systems may be achieved either by increasing the signal amplitude or by decreasing the noise. The noise has multiple origins - not all of which are strictly "noise": incoherent thermal noise originating in the probe and pre-amplifiers, probe ring down or acoustic noise and coherent externally broadcast radio frequency transmissions. The last cannot always be shielded in open access experiments. In this paper, we show that pulsed, low radio-frequency data communications are a significant source of broadcast interference. We explore two signal processing methods of de-noising short T2∗ NMR experiments corrupted by these communications: Linear Predictive Coding (LPC) and the Discrete Wavelet Transform (DWT). Results are shown for numerical simulations and experiments conducted under controlled conditions with pseudo radio frequency interference. We show that both the LPC and DWT methods have merit.
Copyright © 2018 Elsevier Inc. All rights reserved.

Keywords:  De-noising; Discrete-wavelet-transform; Linear-predictive-coding; NMR; Signal-processing

Year:  2018        PMID: 29328975     DOI: 10.1016/j.jmr.2018.01.002

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  1 in total

1.  Signal Deconvolution and Noise Factor Analysis Based on a Combination of Time-Frequency Analysis and Probabilistic Sparse Matrix Factorization.

Authors:  Shunji Yamada; Atsushi Kurotani; Eisuke Chikayama; Jun Kikuchi
Journal:  Int J Mol Sci       Date:  2020-04-23       Impact factor: 5.923

  1 in total

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